어떤 스킬인가요?
노트북에서만 실행되던 코드를 다른 사람도 눌러볼 수 있는 데모로 만들 때 활용합니다. 파일 입력, 텍스트와 버튼 같은 구성요소를 함수와 연결하는 흐름을 안내합니다.
입출력 형식과 결과를 보여줄 방법을 먼저 정하세요. 단순한 Interface부터 여러 구성요소를 연결하는 Blocks까지 상황에 맞는 코드를 받을 수 있습니다. UI를 만든 것과 모델 실행·외부 공개 환경을 준비한 것은 별도의 작업입니다.
huggingface-gradio · 스킬 지원 에이전트
Python의 분석 함수나 모델에 입력·결과 화면을 연결하는 Gradio 웹 UI 제작을 돕습니다.
노트북에서만 실행되던 코드를 다른 사람도 눌러볼 수 있는 데모로 만들 때 활용합니다. 파일 입력, 텍스트와 버튼 같은 구성요소를 함수와 연결하는 흐름을 안내합니다.
입출력 형식과 결과를 보여줄 방법을 먼저 정하세요. 단순한 Interface부터 여러 구성요소를 연결하는 Blocks까지 상황에 맞는 코드를 받을 수 있습니다. UI를 만든 것과 모델 실행·외부 공개 환경을 준비한 것은 별도의 작업입니다.
huggingface-gradio로 CSV를 넣으면 요약 표를 반환하는 Python 함수의 화면을 만들어줘. 업로드, 실행 버튼, 결과 표와 오류 안내를 넣고 로컬 실행 방법을 알려줘.
받을 수 있는 결과Gradio UI 코드와 실행 안내
스킬 지원 에이전트와 Python·Gradio가 필요합니다. 모델·외부 API·공개 호스팅 비용은 사용하는 방식에 따라 별도입니다.
현재 사용 중인 스킬 지원 에이전트에 아래 요청을 붙여넣으세요. SKILL.md만 복사하면 보조 파일이 빠질 수 있어요.
https://github.com/huggingface/skills 에서 skills/huggingface-gradio 스킬을 현재 에이전트의 스킬 폴더에 설치해줘. SKILL.md와 이 스킬이 참조하는 scripts·references·assets와 공통 파일을 함께 유지하고, 필요한 실행 환경과 추가 연결을 확인한 뒤 알려줘. 설치가 끝나면 huggingface-gradio 스킬을 인식하는지 확인해줘.
“huggingface-gradio 스킬을 사용해줘. 입력 자료: Python 함수·입력·출력·화면 구상”처럼 요청하세요. 위의 예시를 내 자료에 맞게 바꿔도 좋아요.
예상 결과는 ‘Gradio UI 코드와 실행 안내’입니다. 필요한 내용이 포함됐는지 확인하세요. 입력 자료의 사실·숫자와 결과를 대조하고, 부족한 부분을 이어서 요청하세요.
제작자 원본 2026-10-04 확인 · 설치 안내 2026-10-04 확인 · 실제 설치·실행 미검증
모델 사용 요금과 연결 앱 요금은 이용 중인 서비스의 정책을 따릅니다.
설치 안내 출처--- name: huggingface-gradio description: Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots. --- # Gradio Gradio is a Python library for building interactive web UIs and ML demos. This skill covers the core API, patterns, and examples. ## Guides Detailed guides on specific topics (read these when relevant): - [Quickstart](https://www.gradio.app/guides/quickstart) - [The Interface Class](https://www.gradio.app/guides/the-interface-class) - [Blocks and Event Listeners](https://www.gradio.app/guides/blocks-and-event-listeners) - [Controlling Layout](https://www.gradio.app/guides/controlling-layout) - [More Blocks Features](https://www.gradio.app/guides/more-blocks-features) - [Custom CSS and JS](https://www.gradio.app/guides/custom-CSS-and-JS) - [Streaming Outputs](https://www.gradio.app/guides/streaming-outputs) - [Streaming Inputs](https://www.gradio.app/guides/streaming-inputs) - [Sharing Your App](https://www.gradio.app/guides/sharing-your-app) - [Custom HTML Components](https://www.gradio.app/guides/custom-HTML-components) - [Getting Started with the Python Client](https://www.gradio.app/guides/getting-started-with-the-python-client) - [Getting Started with the JS Client](https://www.gradio.app/guides/getting-started-with-the-js-client)--- name: huggingface-gradio description: Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots. --- # Gradio Gradio is a Python library for building interactive web UIs and ML demos. This skill covers the core API, patterns, and examples. ## Guides Detailed guides on specific topics (read these when relevant): - [Quickstart](https://www.gradio.app/guides/quickstart) - [The Interface Class](https://www.gradio.app/guides/the-interface-class) - [Blocks and Event Listeners](https://www.gradio.app/guides/blocks-and-event-listeners) - [Controlling Layout](https://www.gradio.app/guides/controlling-layout) - [More Blocks Features](https://www.gradio.app/guides/more-blocks-features) - [Custom CSS and JS](https://www.gradio.app/guides/custom-CSS-and-JS) - [Streaming Outputs](https://www.gradio.app/guides/streaming-outputs) - [Streaming Inputs](https://www.gradio.app/guides/streaming-inputs) - [Sharing Your App](https://www.gradio.app/guides/sharing-your-app) - [Custom HTML Components](https://www.gradio.app/guides/custom-HTML-components) - [Getting Started with the Python Client](https://www.gradio.app/guides/getting-started-with-the-python-client) - [Getting Started with the JS Client](https://www.gradio.app/guides/getting-started-with-the-js-client) ## Core Patterns **Interface** (high-level): wraps a function with input/output components. ```python import gradio as gr def greet(name): return f"Hello {name}!" gr.Interface(fn=greet, inputs="text", outputs="text").launch() ``` **Blocks** (low-level): flexible layout with explicit event wiring. ```python import gradio as gr with gr.Blocks() as demo: name = gr.Textbox(label="Name") output = gr.Textbox(label="Greeting") btn = gr.Button("Greet") btn.click(fn=lambda n: f"Hello {n}!", inputs=name, outputs=output) demo.launch() ``` **ChatInterface**: high-level wrapper for chatbot UIs. ```python import gradio as gr def respond(message, history): return f"You said: {message}" gr.ChatInterface(fn=respond).launch() ``` ## Key Component Signatures ### `Textbox(value: str | I18nData | Callable | None = None, type: Literal['text', 'password', 'email'] = "text", lines: int = 1, max_lines: int | None = None, placeholder: str | I18nData | None = None, label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, autofocus: bool = False, autoscroll: bool = True, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", text_align: Literal['left', 'right'] | None = None, rtl: bool = False, buttons: list[Literal['copy'] | Button] | None = None, max_length: int | None = None, submit_btn: str | bool | None = False, stop_btn: str | bool | None = False, html_attributes: InputHTMLAttributes | None = None)` Creates a textarea for user to enter string input or display string output.. ### `Number(value: float | Callable | None = None, label: str | I18nData | None = None, placeholder: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", buttons: list[Button] | None = None, precision: int | None = None, minimum: float | None = None, maximum: float | None = None, step: float = 1)` Creates a numeric field for user to enter numbers as input or display numeric output.. ### `Slider(minimum: float = 0, maximum: float = 100, value: float | Callable | None = None, step: float | None = None, precision: int | None = None, label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", randomize: bool = False, buttons: list[Literal['reset']] | None = None)` Creates a slider that ranges from {minimum} to {maximum} with a step size of {step}.. ### `Checkbox(value: bool | Callable = False, label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", buttons: list[Button] | None = None)` Creates a checkbox that can be set to `True` or `False`. ### `Dropdown(choices: Sequence[str | int | float | tuple[str, str | int | float]] | None = None, value: str | int | float | Sequence[str | int | float] | Callable | DefaultValue | None = DefaultValue(), type: Literal['value', 'index'] = "value", multiselect: bool | None = None, allow_custom_value: bool = False, max_choices: int | None = None, filterable: bool = True, label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", buttons: list[Button] | None = None)` Creates a dropdown of choices from which a single entry or multiple entries can be selected (as an input component) or displayed (as an output component).. ### `Radio(choices: Sequence[str | int | float | tuple[str, str | int | float]] | None = None, value: str | int | float | Callable | None = None, type: Literal['value', 'index'] = "value", label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", rtl: bool = False, buttons: list[Button] | None = None)` Creates a set of (string or numeric type) radio buttons of which only one can be selected.. ### `Image(value: str | PIL.Image.Image | np.ndarray | Callable | None = None, format: str = "webp", height: int | str | None = None, width: int | str | None = None, image_mode: Literal['1', 'L', 'P', 'RGB', 'RGBA', 'CMYK', 'YCbCr', 'LAB', 'HSV', 'I', 'F'] | None = "RGB", sources: list[Literal['upload', 'webcam', 'clipboard']] | Literal['upload', 'webcam', 'clipboard'] | None = None, type: Literal['numpy', 'pil', 'filepath'] = "numpy", label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, buttons: list[Literal['download', 'share', 'fullscreen'] | Button] | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, streaming: bool = False, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", webcam_options: WebcamOptions | None = None, placeholder: str | None = None, watermark: WatermarkOptions | None = None)` Creates an image component that can be used to upload images (as an input) or display images (as an output).. ### `Audio(value: str | Path | tuple[int, np.ndarray] | Callable | None = None, sources: list[Literal['upload', 'microphone']] | Literal['upload', 'microphone'] | None = None, type: Literal['numpy', 'filepath'] = "numpy", label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, streaming: bool = False, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", format: Literal['wav', 'mp3'] | None = None, autoplay: bool = False, editable: bool = True, buttons: list[Literal['download', 'share'] | Button] | None = None, waveform_options: WaveformOptions | dict | None = None, loop: bool = False, recording: bool = False, subtitles: str | Path | list[dict[str, Any]] | None = None, playback_position: float = 0)` Creates an audio component that can be used to upload/record audio (as an input) or display audio (as an output).. ### `Video(value: str | Path | Callable | None = None, format: str | None = None, sources: list[Literal['upload', 'webcam']] | Literal['upload', 'webcam'] | None = None, height: int | str | None = None, width: int | str | None = None, label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", webcam_options: WebcamOptions | None = None, include_audio: bool | None = None, autoplay: bool = False, buttons: list[Literal['download', 'share'] | Button] | None = None, loop: bool = False, streaming: bool = False, watermark: WatermarkOptions | None = None, subtitles: str | Path | list[dict[str, Any]] | None = None, playback_position: float = 0)` Creates a video component that can be used to upload/record videos (as an input) or display videos (as an output). ### `File(value: str | list[str] | Callable | None = None, file_count: Literal['single', 'multiple', 'directory'] = "single", file_types: list[str] | None = None, type: Literal['filepath', 'binary'] = "filepath", label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, height: int | str | float | None = None, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", allow_reordering: bool = False, buttons: list[Button] | None = None)` Creates a file component that allows uploading one or more generic files (when used as an input) or displaying generic files or URLs for download (as output). ### `Chatbot(value: list[MessageDict | Message] | Callable | None = None, label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, autoscroll: bool = True, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", height: int | str | None = 400, resizable: bool = False, max_height: int | str | None = None, min_height: int | str | None = None, editable: Literal['user', 'all'] | None = None, latex_delimiters: list[dict[str, str | bool]] | None = None, rtl: bool = False, buttons: list[Literal['share', 'copy', 'copy_all'] | Button] | None = None, watermark: str | None = None, avatar_images: tuple[str | Path | None, str | Path | None] | None = None, sanitize_html: bool = True, render_markdown: bool = True, feedback_options: list[str] | tuple[str, ...] | None = ('Like', 'Dislike'), feedback_value: Sequence[str | None] | None = None, line_breaks: bool = True, layout: Literal['panel', 'bubble'] | None = None, placeholder: str | None = None, examples: list[ExampleMessage] | None = None, allow_file_downloads: <class 'inspect._empty'> = True, group_consecutive_messages: bool = True, allow_tags: list[str] | bool = True, reasoning_tags: list[tuple[str, str]] | None = None, like_user_message: bool = False)` Creates a chatbot that displays user-submitted messages and responses. ### `Button(value: str | I18nData | Callable = "Run", every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, variant: Literal['primary', 'secondary', 'stop', 'huggingface'] = "secondary", size: Literal['sm', 'md', 'lg'] = "lg", icon: str | Path | None = None, link: str | None = None, link_target: Literal['_self', '_blank', '_parent', '_top'] = "_self", visible: bool | Literal['hidden'] = True, interactive: bool = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", scale: int | None = None, min_width: int | None = None)` Creates a button that can be assigned arbitrary .click() events. ### `Markdown(value: str | I18nData | Callable | None = None, label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, rtl: bool = False, latex_delimiters: list[dict[str, str | bool]] | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", sanitize_html: bool = True, line_breaks: bool = False, header_links: bool = False, height: int | str | None = None, max_height: int | str | None = None, min_height: int | str | None = None, buttons: list[Literal['copy']] | None = None, container: bool = False, padding: bool = False)` Used to render arbitrary Markdown output. ### `HTML(value: Any | Callable | None = None, label: str | I18nData | None = None, html_template: str = "${value}", css_template: str = "", js_on_load: str | None = "element.addEventListener('click', function() { trigger('click') });", apply_default_css: bool = True, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool = False, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", min_height: int | None = None, max_height: int | None = None, container: bool = False, padding: bool = False, autoscroll: bool = False, buttons: list[Button] | None = None, server_functions: list[Callable] | None = None, props: Any)` Creates a component with arbitrary HTML. ## Custom HTML Components If a task requires significant customization of an existing component or a component that doesn't exist in Gradio, you can create one with `gr.HTML`. It supports `html_template` (with `${}` JS expressions and `{{}}` Handlebars syntax), `css_template` for scoped styles, and `js_on_load` for interactivity — where `props.value` updates the component value and `trigger('event_name')` fires Gradio events. For reuse, subclass `gr.HTML` and define `api_info()` for API/MCP support. See the [full guide](https://www.gradio.app/guides/custom-HTML-components). Here's an example that shows how to create and use these kinds of components: ```python import gradio as gr class StarRating(gr.HTML): def __init__(self, label, value=0, **kwargs): html_template = """ <h2>${label} rating:</h2> ${Array.from({length: 5}, (_, i) => `<img class='${i < value ? '' : 'faded'}' src='https://upload.wikimedia.org/wikipedia/commons/d/df/Award-star-gold-3d.svg'>`).join('')} """ css_template = """ img { height: 50px; display: inline-block; cursor: pointer; } .faded { filter: grayscale(100%); opacity: 0.3; } """ js_on_load = """ const imgs = element.querySelectorAll('img'); imgs.forEach((img, index) => { img.addEventListener('click', () => { props.value = index + 1; }); }); """ super().__init__(value=value, label=label, html_template=html_template, css_template=css_template, js_on_load=js_on_load, **kwargs) def api_info(self): return {"type": "integer", "minimum": 0, "maximum": 5} with gr.Blocks() as demo: gr.Markdown("# Restaurant Review") food_rating = StarRating(label="Food", value=3) service_rating = StarRating(label="Service", value=3) ambience_rating = StarRating(label="Ambience", value=3) average_btn = gr.Button("Calculate Average Rating") rating_output = StarRating(label="Average", value=3) def calculate_average(food, service, ambience): return round((food + service + ambience) / 3) average_btn.click( fn=calculate_average, inputs=[food_rating, service_rating, ambience_rating], outputs=rating_output ) demo.launch() ``` ## Event Listeners All event listeners share the same signature: ```python component.event_name( fn: Callable | None | Literal["decorator"] = "decorator", inputs: Component | Sequence[Component] | set[Component] | None = None, outputs: Component | Sequence[Component] | set[Component] | None = None, api_name: str | None = None, api_description: str | None | Literal[False] = None, scroll_to_output: bool = False, show_progress: Literal["full", "minimal", "hidden"] = "full", show_progress_on: Component | Sequence[Component] | None = None, queue: bool = True, batch: bool = False, max_batch_size: int = 4, preprocess: bool = True, postprocess: bool = True, cancels: dict[str, Any] | list[dict[str, Any]] | None = None, trigger_mode: Literal["once", "multiple", "always_last"] | None = None, js: str | Literal[True] | None = None, concurrency_limit: int | None | Literal["default"] = "default", concurrency_id: str | None = None, api_visibility: Literal["public", "private", "undocumented"] = "public", time_limit: int | None = None, stream_every: float = 0.5, key: int | str | tuple[int | str, ...] | None = None, validator: Callable | None = None, ) -> Dependency ``` Supported events per component: - **AnnotatedImage**: select - **Audio**: stream, change, clear, play, pause, stop, pause, start_recording, pause_recording, stop_recording, upload, input - **BarPlot**: select, double_click - **BrowserState**: change - **Button**: click - **Chatbot**: change, select, like, retry, undo, example_select, option_select, clear, copy, edit - **Checkbox**: change, input, select - **CheckboxGroup**: change, input, select - **ClearButton**: click - **Code**: change, input, focus, blur - **ColorPicker**: change, input, submit, focus, blur - **Dataframe**: change, input, select, edit - **Dataset**: click, select - **DateTime**: change, submit - **DeepLinkButton**: click - **Dialogue**: change, input, submit - **DownloadButton**: click - **Dropdown**: change, input, select, focus, blur, key_up - **DuplicateButton**: click - **File**: change, select, clear, upload, delete, download - **FileExplorer**: change, input, select - **Gallery**: select, upload, change, delete, preview_close, preview_open - **HTML**: change, input, click, double_click, submit, stop, edit, clear, play, pause, end, start_recording, pause_recording, stop_recording, focus, blur, upload, release, select, stream, like, example_select, option_select, load, key_up, apply, delete, tick, undo, retry, expand, collapse, download, copy - **HighlightedText**: change, select - **Image**: clear, change, stream, select, upload, input - **ImageEditor**: clear, change, input, select, upload, apply - **ImageSlider**: clear, change, stream, select, upload, input - **JSON**: change - **Label**: change, select - **LinePlot**: select, double_click - **LoginButton**: click - **Markdown**: change, copy - **Model3D**: change, upload, edit, clear - **MultimodalTextbox**: change, input, select, submit, focus, blur, stop - **Navbar**: change - **Number**: change, input, submit, focus, blur - **ParamViewer**: change, upload - **Plot**: change - **Radio**: select, change, input - **ScatterPlot**: select, double_click - **SimpleImage**: clear, change, upload - **Slider**: change, input, release - **State**: change - **Textbox**: change, input, select, submit, focus, blur, stop, copy - **Timer**: tick - **UploadButton**: click, upload - **Video**: change, clear, start_recording, stop_recording, stop, play, pause, end, upload, input ## Prediction CLI The `gradio` CLI includes `info` and `predict` commands for interacting with Gradio apps programmatically. These are especially useful for coding agents that need to use Spaces in their workflows. ### `gradio info` — Discover endpoints and parameters ```bash gradio info <space_id_or_url> ``` Returns a JSON payload describing all endpoints, their parameters (with types and defaults), and return values. ```bash gradio info gradio/calculator # { # "/predict": { # "parameters": [ # {"name": "num1", "required": true, "default": null, "type": {"type": "number"}}, # {"name": "operation", "required": true, "default": null, "type": {"enum": ["add", "subtract", "multiply", "divide"], "type": "string"}}, # {"name": "num2", "required": true, "default": null, "type": {"type": "number"}} # ], # "returns": [{"name": "output", "type": {"type": "number"}}], # "description": "" # } # } ``` File-type parameters show `"type": "filepath"` with instructions to include `"meta": {"_type": "gradio.FileData"}` — this signals the file will be uploaded to the remote server. ### `gradio predict` — Send predictions ```bash gradio predict <space_id_or_url> <endpoint> <json_payload> ``` Returns a JSON object with named output keys. ```bash # Simple numeric prediction gradio predict gradio/calculator /predict '{"num1": 5, "operation": "multiply", "num2": 3}' # {"output": 15} # Image generation gradio predict black-forest-labs/FLUX.2-dev /infer '{"prompt": "A majestic dragon"}' # {"Result": "/tmp/gradio/.../image.webp", "Seed": 1117868604} # File upload (must include meta key) gradio predict gradio/image_mod /predict '{"image": {"path": "/path/to/image.png", "meta": {"_type": "gradio.FileData"}}}' # {"output": "/tmp/gradio/.../output.png"} ``` Both commands accept `--token` for accessing private Spaces. ## Additional Reference - [End-to-End Examples](examples.md) — complete working apps
Original skill: huggingface/skills/skills/huggingface-gradio/SKILL.md
Source: https://github.com/huggingface/skills/blob/ca0325bb20b2d0a1b2efa893670c4c72f79e707b/skills/huggingface-gradio/SKILL.md
License: Apache-2.0
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SKILL.md 본문입니다. 원문에서 참조하는 스크립트·보조 파일은 원본 패키지에 포함되어 있습니다.